Vinitra Swamy

PhD, EPFL

Vinitra is a fourth-year PhD coadvised by the ML4ED and MLO labs of EPFL. Her PhD is on explainable AI for education providing personalized and tailored assistance to students in online courses, especially in contexts where teachers are not present. She helped scale UC Berkeley’s first data science course from 100 students to 1,700 students a semester, reaching students from over 60 major disciplines and achieving a 50-50 gender ratio. She then lectured the flagship data science offering at UC Berkeley in the summer of 2018, as well as a ML course at UW in 2020, while working for two years on the interoperability of AI frameworks as an AI engineer at Microsoft.

Paola Mejia-Domenzain

PhD, EPFL

Paola is a fourth-year PhD student at the ML4ED lab at EPFL working on self-regulated learning (SRL) in online or blended environments. She has worked closely with ITS in start-ups (Lernnavi and Skillpartout) implementing new features to engage users (e.g., SRL adaptive messages based on student profiles, team features) and promoting SRL in mathematics and language learning. She has multiple projects with vocational schools across multiple professions (professional education), including the creation of a digital tool to enhance writing skills for chef apprentices and a tool to support reflective journaling for nurses.